Own the creation of scalable datacenter solutions for enterprise AI/ML systems
Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures
Create and validate cluster designs, optimizing them for enterprise facilities
Collaborate closely with other experts in compute, software, and storage to drive innovation
Lead multi-disciplinary projects, addressing high-level goals and complex challenges
Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers
Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence
Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks
Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness
What we need to see:
Bachelor's degree or equivalent experience
8-10 years+ years hardware or infrastructure architecture experience
Cluster Design Proficiency: Expertise in architecting cluster designs for on-prem cloud-native platforms
Architectural Design Skills: Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience
Network Evaluation Expertise: Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads
Cloud-Native Knowledge: Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain
Networking Patterns Mastery: Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures
Effective Communication: Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences
Technical Leadership in Cluster Design: Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches.
System-Level Thinking: Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs.
Ways to stand out from the crowd:
Relevant vendor networking certifications : Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications
Wider Infrastructure Expertise: Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture
TCO Analysis Skills: Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD f
Additional Information
We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems.
Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.
Nvidia · Santa Clara, CA